National Instruments selected Attivio Platform for Superior Search Functionality
National Instruments was concerned about the future state of its enterprise search solution. Microsoft’s FAST ESP was no longer offered as a stand-alone product and it was marked for end-of-life, effective July 2013.
National InstrumentsNI provides powerful, flexible technology solutions that accelerate productivity and drive rapid innovation. From daily tasks to grand challenges, NI helps engineers and scientists overcome complexity to exceed even their own expectations. Customers in nearly every industry—from healthcare and automotive to consumer electronics and particle physics—use NI’s integrated hardware and software platform to improve our world.
Equipment & Machinery
The Attivio Cognitive Search and Insight Platform combines self-learning technologies such as natural language processing, machine learning, and knowledge graphing to deliver a contextualized search and discovery experience with a secure enterprise platform.
- CONNECTIVITY PROTOCOLS
After a competitive, multi-vendor review, National Instruments chose the Attivio platform to power its site search including e-commerce, Intranet, and CRM search. The company appreciated Attivio’s strength in the following urgently-needed features:
• Global language support
• “ Do you mean…? ” query completion
• Reliable, tunable relevancy
• Elimination of data denormalization
- DATA COLLECTED
- SOLUTION TYPE
- SOLUTION MATURITY
Mature (technology has been on the market for > 5 years)
- OPERATIONAL IMPACT
Impact #1 [Efficiency Improvement - Time To Market]
The Attivio platform provided a superior cost-benefit profile and a much faster-time-to market than competing search providers.
Impact #2 [Financial Growth - Revenue]
Optimization of customers’ online shopping experience to increase revenue.
- QUANTITATIVE BENEFIT
Improvement of sales, marketing reporting and forecasting.
- USE CASES
Process Control & OptimizationProcess control and optimization (PCO) is the discipline of adjusting a process to maintain or optimize a specified set of parameters without violating process constraints. The PCO market is being driven by rising demand for energy-efficient production processes, safety and security concerns, and the development of IoT systems that can reliably predict process deviations. Fundamentally, there are three parameters that can be adjusted to affect optimal performance. - Equipment optimization: The first step is to verify that the existing equipment is being used to its fullest advantage by examining operating data to identify equipment bottlenecks. - Operating procedures: Operating procedures may vary widely from person-to-person or from shift-to-shift. Automation of the plant can help significantly. But automation will be of no help if the operators take control and run the plant in manual. - Control optimization: In a typical processing plant, such as a chemical plant or oil refinery, there are hundreds or even thousands of control loops. Each control loop is responsible for controlling one part of the process, such as maintaining a temperature, level, or flow. If the control loop is not properly designed and tuned, the process runs below its optimum. The process will be more expensive to operate, and equipment will wear out prematurely. For each control loop to run optimally, identification of sensor, valve, and tuning problems is important. It has been well documented that over 35% of control loops typically have problems. The process of continuously monitoring and optimizing the entire plant is sometimes called performance supervision.